Your customers are frustrated with negative news “data dumps” that add to their workloads rather than alleviate it. They want adverse media analysis on people and companies that gives them a clearer view of their stakeholders’ risk profiles. And, they want it on a single platform. Boost your risk management solution by integrating Valital’s adverse media API.
Our proprietary AI models extract information from millions of publicly available data from across the internet. Valital doesn't screen against a database of entity and individual profiles. We go where the information lives. And, we do it in real time.Learn more
Intuitive pre-search filters lead to reduced search times. No need for frustrating keyword searches and copious amounts of user input. We’ve already done the work, covering a wide range of universally recognized misconducts.Learn more
Using the power of Natural Language Processing (NLP), our AI models analyze information across four key components: content and context, source credibility, identity match, role of the subject. This is how we reduce the noise. Provide relevant data. Stand apart from any other adverse media platform.Learn more
We offer a flexible, secure easy-to-use RESTFUL API channel with endpoints that provide real-time delivery across a range of data fields.
Reduces search times
Peace of mind
The gift of capacity found
Search times are reduced as a result of intuitive pre-search filters. This means you will not be inundated with “excessive noise” from having to parse through irrelevant information. Clients tell us that Valital strikes the right balance when it comes to the amount and the accuracy of information in its reports.
The LiveUpdate alerts feature frees up your resources, because users don’t have to keep running new checks on people they want to keep an eye on. Continuous monitoring allows them the peace of mind of knowing that if new information comes up, they will receive an alert.
All reports are saved within a repository for easy retrieval at any time. Searches don’t have to be redone on an individual if there’s a time lag; various users can simply pull existing information from the repository. This ensures consistency.